From a single pane of glass

Infogain’s PAQman is a QE platform provides a single pane of glass across the lifecycle and testing automation including modular and customizable frameworks for digital, specialized, performance, and automated testing. AI Led features are in built / have adaptors to connect with industrial tools and establish seamless tools landscape for QE organizations

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Accelerating the delivery lifecycle

Digital Console

Single pane of glass across the Agile SDLC:

  • Execute, monitor, measure
  • Live reporting
  • Test result grammar for quick next best action
  • Grouping and tagging of test assets for faster execution
  • 150+ KPIs
  • Traceability matrix across the SDLC process

Continuous Quality


(DevOps)

Setting up various quality gates for continuous delivery orchestration for:

  • Environment creation
  • Environment configuration
  • Environment provisioning
  • Digital test labs setup
  • Data creation
  • Build self service automation through CI/CD principles

Universal Gateway

Boilerplate code helps build domain libraries and automation test cases:

  • Write once for web, mobile, API, performance
  • Keyword-driven test scripting improves test case creation and maintenance
  • ETL, COTS
  • Self-healing test scripts
  • AI models for test scenarios

Predictive Analytics


for Defect Prediction


(ML Enabled)

Codify the code and artifacts created in the SDLC process into a data lake to forecast/ predict quality.

Possible predictions include:

  • Defect analytics
  • Application performance Predictions
  • Test Selection and Regression optimization
  • Testing Insights and Predictive SDLC analytics

Framework of


Frameworks for


Hyperautomation

PAQman, our open-source framework of frameworks, uses these principles:

  • Leverage existing assets
  • Use open-source tools
  • Test models
  • Analytics driven QA
  • Live information integration
  • Metrics-based testing

Testing Models


Supported

PAQman supports a range of testing:

  • A/B testing
  • V model
  • Agile and spiral test model
  • Iterative model